Predictive Biomarkers for Obesity
Published:
University of Washington, Seattle
This is a group research study which builds a predictive model for obesity by incorporating biomarkers in addition to body mass index (BMI). Some of the statistical methods used are cross-validation, LASSO regression, and ridge regression.
It is based on data from the National Health and Nutrition Examination Survey (NHANES).